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Why the gold rush toward LLM agents does not make analytical AI obsolete

MIT researchers found that vision-language models, widely used to analyze medical images, do not understand negation words like “no” and “not.” This could cause them to fail unexpectedly when asked to…

Sydney gears up for landmark speech science conference

A step towards inclusive Artificial Intelligence

From theory to practice

Design is rapidly changing. From the ubiquity of AI (and the era of AI hardware) to the shift in modality (Apple prioritising design elements from visionOS), there is a lot of uncertainty. It’s…

For a long time, “good writing” has been more than skill; it’s been a form of gatekeeping. Not anymore.

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We discovered why language models catastrophically fail on long conversations: when old tokens are removed to save memory, models produce complete gibberish. We found models dump massive attention onto the first few tokens as "attention sinks"—places to park…